المؤلفون: Pérez-Aracil, J., Peláez-Rodríguez, C., McAdam, Ronan, Squintu, Antonello, Marina, Cosmin M., Lorente-Ramos, Eugenio, Luther, Niklas, Torralba, Veronica, Scoccimarro, Enrico, Cavicchia, Leone, Giuliani, Matteo, Zorita, Eduardo, Hansen, Felicitas, Barriopedro, David, Garcia-Herrera, Ricardo, Gutiérrez, Pedro A., Luterbacher, Jürg, Xoplaki, Elena, Castelletti, Andrea, Salcedo-Sanz, S.

مصطلحات موضوعية: Physics - Atmospheric and Oceanic Physics, Computer Science - Artificial Intelligence

URL الوصول: http://arxiv.org/abs/2411.10108

المؤلفون: Salcedo-Sanz, S, Camacho-Gómez, C, Magdaleno, A, Pereira, E, Lorenzana, A

المصدر: Journal of Sound and Vibration, vol. 393, pp. 62-75, 2017

مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Neural and Evolutionary Computing, I.2.8

URL الوصول: http://arxiv.org/abs/2402.06981

المؤلفون: Salcedo-Sanz, S., Casillas-Pérez, D., Del Ser, J., Casanova-Mateo, C., Cuadra, L., Piles, M., Camps-Valls, G.

المصدر: Physics Reports, Volume 957, 29 April 2022, Pages 1-73

مصطلحات موضوعية: Mathematics - Dynamical Systems, Physics - Geophysics, Statistics - Methodology

URL الوصول: http://arxiv.org/abs/2205.02082

المؤلفون: Marcelino, C. G., Leite, G. M. C., Delgado, C. A. D. M, de Oliveira, L. B., Wanner, E. F., Jiménez-Fernández, S., Salcedo-Sanz, S.

المصدر: Expert Systems With Applications (2021)

مصطلحات موضوعية: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control

URL الوصول: http://arxiv.org/abs/2107.09718

المؤلفون: Pérez-Aracil, J., Fister, D., Marina, C. M., Peláez-Rodríguez, C., Cornejo-Bueno, L., Gutiérrez, P. A., Giuliani, M., Castelletti, A., Salcedo-Sanz, S.

المساهمون: Pérez-Aracil, J., Fister, D., Marina, C. M., Peláez-Rodríguez, C., Cornejo-Bueno, L., Gutiérrez, P. A., Giuliani, M., Castelletti, A., Salcedo-Sanz, S.

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001297771100001; volume:23; firstpage:1; lastpage:13; numberofpages:13; journal:APPLIED COMPUTING AND GEOSCIENCES; https://hdl.handle.net/11311/1275667; https://www.sciencedirect.com/science/article/pii/S2590197424000326

الاتاحة: https://hdl.handle.net/11311/1275667
https://doi.org/10.1016/j.acags.2024.100185
https://www.sciencedirect.com/science/article/pii/S2590197424000326

المؤلفون: Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martínez, A., Izquierdo-Verdiguier, E., Muñoz-Marí, J., Mosavi, Amirhosein, Camps-Valls, G.

المصدر: Information Fusion, Volume 63, November 2020, Pages 256-272

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

URL الوصول: http://arxiv.org/abs/2012.05795

المؤلفون: Palomo‐Alonso, A., Costa, V. G., Moreno‐Saavedra, L. M., Lorente‐Ramos, E., Pérez‐Aracil, J., Pedreira, C. E., Salcedo‐Sanz, S.

المساهمون: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

المصدر: Expert Systems ; volume 41, issue 12 ; ISSN 0266-4720 1468-0394

الاتاحة: http://dx.doi.org/10.1111/exsy.13713
https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13713

المؤلفون: Hernández-Díaz, A.M., Pérez-Aracil, J., Lorente-Ramos, E., Marina, C.M., Peláez-Rodríguez, C., Salcedo-Sanz, S.

المساهمون: Ministerio de Ciencia e Innovación, Gobierno de Espana Ministerio de Ciencia e Innovacion

المصدر: Results in Engineering ; volume 22, page 102139 ; ISSN 2590-1230

الاتاحة: http://dx.doi.org/10.1016/j.rineng.2024.102139
https://api.elsevier.com/content/article/PII:S2590123024003931?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2590123024003931?httpAccept=text/plain

المؤلفون: Peláez-Rodríguez, C., Pérez-Aracil, J., Marina, C.M., Prieto-Godino, L., Casanova-Mateo, C., Gutiérrez, P.A., Salcedo-Sanz, S.

المساهمون: Ministerio de Ciencia e Innovación, Horizon 2020 Framework Programme, Gobierno de España Ministerio de Ciencia e Innovación, European Commission

المصدر: Knowledge-Based Systems ; volume 291, page 111556 ; ISSN 0950-7051

الاتاحة: http://dx.doi.org/10.1016/j.knosys.2024.111556
https://api.elsevier.com/content/article/PII:S0950705124001916?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0950705124001916?httpAccept=text/plain

المؤلفون: Peláez-Rodríguez, C., Torres-López, R., Pérez-Aracil, J., López-Laguna, N., Sánchez-Rodríguez, S., Salcedo-Sanz, S.

المساهمون: Espana Ministerio de Ciencia e Innovacion, Ministerio de Ciencia e Innovación, Comunidad de Madrid

المصدر: Computer Methods and Programs in Biomedicine ; volume 245, page 108033 ; ISSN 0169-2607

الاتاحة: http://dx.doi.org/10.1016/j.cmpb.2024.108033
https://api.elsevier.com/content/article/PII:S0169260724000294?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0169260724000294?httpAccept=text/plain

المؤلفون: Vega-Bayo, M., Pérez-Aracil, J., Prieto-Godino, L., Salcedo-Sanz, S.

المساهمون: Ministerio de Ciencia e Innovación, Espana Ministerio de Ciencia e Innovacion

المصدر: Renewable Energy ; volume 221, page 119769 ; ISSN 0960-1481

الاتاحة: https://doi.org/10.1016/j.renene.2023.119769
https://api.elsevier.com/content/article/PII:S0960148123016841?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0960148123016841?httpAccept=text/plain

المؤلفون: Palomo-Alonso, A., Casillas-Pérez, D., Jiménez-Fernández, S., Portilla-Figueras, A., Salcedo-Sanz, S.

المساهمون: Espana Ministerio de Ciencia e Innovacion, Ministerio de Ciencia e Innovación, Universidad de Alcalá

المصدر: Digital Signal Processing ; volume 144, page 104270 ; ISSN 1051-2004

الاتاحة: http://dx.doi.org/10.1016/j.dsp.2023.104270
https://api.elsevier.com/content/article/PII:S1051200423003652?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1051200423003652?httpAccept=text/plain

المؤلفون: Drouard M., Pérez-Aracil J., Barriopedro, David, Zaninelli P.G., Garrido-Perez J.M., Fister D., Salcedo-Sanz S., García-Herrera R.

Relation: Publisher's version; http://dx.doi.org/10.5194/egusphere-egu23-5742; Sí; http://hdl.handle.net/10261/347153

الاتاحة: http://hdl.handle.net/10261/347153
https://doi.org/10.5194/egusphere-egu23-5742

المؤلفون: Zaninelli P.G., Barriopedro, David, Drouard M., Garrido-Pérez J.M., Pérez-Aracil J., Fister D., García-Herrera R., Salcedo-Sanz S., Alvarez-Castro, M.C.

Relation: Publisher's version; http://dx.doi.org/10.5194/egusphere-egu23-6732; Sí; http://hdl.handle.net/10261/342730

الاتاحة: http://hdl.handle.net/10261/342730
https://doi.org/10.5194/egusphere-egu23-6732

المؤلفون: Marcelino, C.G., Leite, G.M.C., Wanner, E.F., Jiménez-Fernández, S., Salcedo-sanz, S.

مصطلحات موضوعية: Microgrid systems, Net-Metering, Renewable sources, Swarm evolutionary optimization

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/5cdd34e3464ed56de2a7bc4489c48623705d0835cf547de6cefd2ce6e2526a3b/4895299/1-s2.0-S0360544222032030-main.pdf; https://doi.org/10.1016/j.energy.2022.126317; Marcelino, C.G., Leite, G.M.C., Wanner, E.F., Jiménez-Fernández, S. and Salcedo-sanz, S. 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm." Energy. 266. https://doi.org/10.1016/j.energy.2022.126317

الاتاحة: https://research.usq.edu.au/item/z264z/evaluating-the-use-of-a-net-metering-mechanism-in-microgrids-to-reduce-power-generation-costs-with-a-swarm-intelligent-algorithm
https://research.usq.edu.au/download/5cdd34e3464ed56de2a7bc4489c48623705d0835cf547de6cefd2ce6e2526a3b/4895299/1-s2.0-S0360544222032030-main.pdf
https://doi.org/10.1016/j.energy.2022.126317

المؤلفون: Pelaez-Rodriguez, C., Perez-Aracil, J., Prieto-Godino, L., Ghimire, S., Deo, R., Salcedo-sanz, S.

مصطلحات موضوعية: Wind energy, Wind speed extremes, Wind extremes prediction, Extreme Learning Machine, Fuzzy ensemble

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/248d5ead43b801d976ba32d2e82a2d473c3689350d3a9eeb4a81cda7214afd8e/3469604/A%20fuzzy-based%20cascade%20ensemble%20model%20for%20improving%20extreme%20wind%20speeds%20prediction.pdf; https://doi.org/10.1016/j.jweia.2023.105507; Pelaez-Rodriguez, C., Perez-Aracil, J., Prieto-Godino, L., Ghimire, S., Deo, R. and Salcedo-sanz, S. 2023. "A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction." Journal of Wind Engineering and Industrial Aerodynamics. 240. https://doi.org/10.1016/j.jweia.2023.105507

الاتاحة: https://research.usq.edu.au/item/z268v/a-fuzzy-based-cascade-ensemble-model-for-improving-extreme-wind-speeds-prediction
https://research.usq.edu.au/download/248d5ead43b801d976ba32d2e82a2d473c3689350d3a9eeb4a81cda7214afd8e/3469604/A%20fuzzy-based%20cascade%20ensemble%20model%20for%20improving%20extreme%20wind%20speeds%20prediction.pdf
https://doi.org/10.1016/j.jweia.2023.105507

المؤلفون: Fister, D., Pérez Aracil, J., Peláez Rodríguez, C., Del Ser Lorente, Javier, Salcedo Sanz, S.

المساهمون: European Commission

مصطلحات موضوعية: deep learning, temperature prediction, recurrence plots, data reduction techniques

وصف الملف: application/pdf

Relation: info:eu-repo/grantAgreement/EC/H2020/101003876; info:eu-repo/grantAgreement/MICINN/PID2020-115454GB-C21; https://www.sciencedirect.com/science/article/pii/S1568494623001369; Applied Soft Computing 136 : (2023) // Article ID 110118; http://hdl.handle.net/10810/61608

الاتاحة: http://hdl.handle.net/10810/61608
https://doi.org/10.1016/j.asoc.2023.110118

المؤلفون: Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, Diego, Salcedo‐Sanz, S.

المصدر: REVIEWS OF GEOPHYSICS ; ISSN: 8755-1209 ; ISSN: 1944-9208

مصطلحات موضوعية: Earth and Environmental Sciences, heat waves, extreme and compound events, climate change and variability, attribution, subseasonal prediction, climate models, SOIL-MOISTURE INITIALIZATION, MARINE HEATWAVES, EXTREME WEATHER, CLIMATE-CHANGE, ATMOSPHERIC CIRCULATION, NORTH-ATLANTIC, BOREAL SUMMER, CIRCUMGLOBAL TELECONNECTION, TEMPERATURE VARIABILITY, MODEL EVALUATION

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/01HF6KC0VQWBZBHSQX8B7YRXM2; http://doi.org/10.1029/2022rg000780; https://biblio.ugent.be/publication/01HF6KC0VQWBZBHSQX8B7YRXM2/file/01HF6KCNDK418XGDVKC96MM5T3

الاتاحة: https://biblio.ugent.be/publication/01HF6KC0VQWBZBHSQX8B7YRXM2
http://hdl.handle.net/1854/LU-01HF6KC0VQWBZBHSQX8B7YRXM2
https://doi.org/10.1029/2022rg000780
https://biblio.ugent.be/publication/01HF6KC0VQWBZBHSQX8B7YRXM2/file/01HF6KCNDK418XGDVKC96MM5T3

المؤلفون: Marcelino, C. G., Pérez-Aracil, J., Wanner, E. F., Jiménez-Fernández, S., Leite, G. M.C., Salcedo-Sanz, S.

وصف الملف: text

Relation: https://publications.aston.ac.uk/id/eprint/45079/1/CG_Marcelino_et_al_Cross_entropy_boosted_CRO_SL_for_optimal_power_flow_in_smart_grids.pdf; Marcelino, C. G., Pérez-Aracil, J., Wanner, E. F. , Jiménez-Fernández, S., Leite, G. M.C. and Salcedo-Sanz, S. (2023). Cross-entropy boosted CRO-SL for optimal power flow in smart grids. Soft computing, 27 (10), pp. 6549-6572.

الاتاحة: https://publications.aston.ac.uk/id/eprint/45079/
https://publications.aston.ac.uk/id/eprint/45079/1/CG_Marcelino_et_al_Cross_entropy_boosted_CRO_SL_for_optimal_power_flow_in_smart_grids.pdf

المؤلفون: Salcedo-Sanz S, Ascenso G., Del Ser J., Casillas-Pérez D., Kadow C., Fister D., Barriopedro D., García-Herrera R., Giuliani M., Castelletti A.

المساهمون: Ministerio de Ciencia e Innovación (España), Eusko Jaurlaritza

Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115454GB-C21/ES/NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTE/; Publisher's version; Sí; Theorectical and Applied Climatology 1: 1 (2023); http://hdl.handle.net/10261/335316

الاتاحة: http://hdl.handle.net/10261/335316